About
Updated info: https://www.nichele.eu/
Research groups
Research projects
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AI-Mind
The goal of the research is to reduce the burden of dementia by developing novel, AI-based tools.
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FeLT- Futures of Living Technologies
From a perspective of ecological crisis, FeLT engages in the relations and intersections that occur between human beings, living environments and machines.
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Hybrid Deep Learning Cellular Automata Reservoir (DeepCA)
DeepCA is a long-term time horizon project seeking the integration of biological and artificial intelligence.
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SOCRATES
Seeking radical breakthroughs toward efficient and powerful data analysis available everywhere.
Publications and research
Scientific publications
Glover, Tom Eivind
;
Lind, Pedro
;
Yazidi, Anis
; Osipov, Evgeny;
Nichele, Stefano
(2023).
Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark.
42 p.
Complex Systems.
Vol. 32.
https://doi.org/10.25088/ComplexSystems.32.3.309
Nadizar, Giorgia; Medvet, Eric;
Nichele, Stefano
; Pontes Filho, Sidney
(2023).
An experimental comparison of evolved neural network models for controlling simulated modular soft robots.
16 p.
Applied Soft Computing.
Vol. 145.
https://doi.org/10.1016/j.asoc.2023.110610
Nichele, Stefano ; Aamodt, Jonas Moræus; Misra, Sanjay; Mölder, Anicka (2023). 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI). ISBN: 9798350328929. IEEE conference proceedings.
Glover, Tom Eivind
; Jahren, Christian Ruben; Huse Ramstad, Ola;
Nichele, Stefano
(2023).
Minimum Equivalence in Random Boolean Networks, Elementary Cellular Automata, and Beyond.
Iizuki, Hiroyuki; Suzuki, Keisuke; Uno, Ryoko; Damiano, Luisa; Spychala, Nadine; Aguilera, Miguel (Ed.).
ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. p. 100-108.
MIT Press.
https://doi.org/https://doi.org/10.1162/isal_a_005
Pierro, Alessandro;
Heiney, Kristine
; Shrivastava, Shamit; Marcucci, Gulia;
Nichele, Stefano
(2023).
Optimization of a Hydrodynamic Computational Reservoir through Evolution.
Silva, Sara; Paquete, Luis (Ed.).
GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. p. 202-210.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3583131.3590355
Nichele, Stefano (2023). IEEE Conference Proceedings: 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI). ISBN: 9798350328929. 100 p. IEEE conference proceedings.
Lindell, Trym
; Hudcová, Barbora;
Nichele, Stefano
(2023).
Canonical Computations in Cellular Automata and Their Application for Reservoir Computing.
9 p.
ALIFE : Proceedings of the Artificial Life Conference.
Vol. 16.
https://doi.org/10.1162/isal_a_00594
Pontes Filho, Sidney; Olsen, Kristoffer;
Yazidi, Anis
;
Riegler, Michael
;
Halvorsen, Pål
;
Nichele, Stefano
(2022).
Towards the Neuroevolution of Low-level artificial general intelligence.
15 p.
Frontiers in Robotics and AI.
Vol. 9.
https://doi.org/10.3389/frobt.2022.1007547
Heiney, Kristine Anne
; Huse Ramstad, Ola; Fiskum, Vegard; Sandvig, Axel; Sandvig, Ioanna;
Nichele, Stefano
(2022).
Neuronal avalanche dynamics and functional connectivity elucidate information propagation in vitro.
17 p.
Frontiers in Neural Circuits.
Vol. 16.
https://doi.org/10.3389/fncir.2022.980631
Nadizar, Giorgia; Medvet, Eric; Huse Ramstad, Ola;
Nichele, Stefano
; Pellegrino, Felice Andrea; Zullich, Marco
(2022).
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots.
27 p.
Knowledge engineering review (Print).
Vol. 37.
https://doi.org/10.1017/S0269888921000151